Postgraduate Course: Dissertation (SDS) (MATH11178)
Course Outline
| School | School of Mathematics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
| Course type | Dissertation |
Availability | Not available to visiting students |
| SCQF Credits | 60 |
ECTS Credits | 30 |
| Summary | During the months of June, July and August students will work on their MSc dissertation. This will take the form of either consultancy style projects. The aim of both types of project is to provide practical consultancy experience. This will include identifying and applying appropriate statistical techniques to real problems, interpreting the results and presenting the conclusions. |
| Course description |
The consultancy style projects will consist of 1 or 2 consecutive projects. Each project will take the form of a statistical problem presented to all the students, with further advice/guidance available in the form of weekly drop-in clinics. An individual written report will be submitted by a given deadline detailing the methods used, results obtained and corresponding interpretation of the results. The students are able to discuss the problem with their peers; however, all statistical analyses and written reports must be their own independent work.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
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| Academic year 2023/24, Not available to visiting students (SS1)
|
Quota: None |
| Course Start |
Block 5 (Sem 2) and beyond |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
600
(
Dissertation/Project Supervision Hours 20,
Programme Level Learning and Teaching Hours 12,
Directed Learning and Independent Learning Hours
568 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Coursework 100%, Examination 0% |
| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Identify and apply appropriate statistical techniques to real application problems.
- Ability to write a statistical consultancy style report.
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | DSDS,dissertation,project,consultancy,statistics |
Contacts
| Course organiser | Dr Daniel Paulin
Tel:
Email: dpaulin@ed.ac.uk |
Course secretary | Miss Gemma Aitchison
Tel: (0131 6)50 9268
Email: Gemma.Aitchison@ed.ac.uk |
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